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Modeling the Probability Distribution of Coordinates of Target, Detected by Two Sensors in Their Intersection Zone
Author(s) -
Vladimir D. Varbanov
Publication year - 2018
Publication title -
european journal of engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2736-576X
DOI - 10.24018/ejeng.2018.3.4.664
Subject(s) - intersection (aeronautics) , spatial reference system , range (aeronautics) , variance (accounting) , noise (video) , computer science , orthogonal coordinates , generalized coordinates , distribution (mathematics) , log polar coordinates , algorithm , signal (programming language) , artificial intelligence , mathematics , geometry , mathematical analysis , engineering , geography , cartography , accounting , business , image (mathematics) , programming language , aerospace engineering
Sensors ability to accurately determine the coordinates of a target is often limited to one or two spatial coordinates, in example range at expense angle, as the accuracy is further degraded by noise of the signal. The problem can be mitigated by fusing the data of more than one sensor. The variance the fused coordinates can be evaluated theoretically or computationally through modeling. The paper focuses of the second approach.  

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